A method includes receiving data corresponding to spaces situated in a street section, the data being ascertained by at least one ascertaining vehicle driving through the street section and including information corresponding to a beginning edge of at least one object and a ending edge of at least one second object, determining boundaries of at least one space in which parking is permitted based on the received data, and generating a display representation of the boundaries of the at least one space in which parking is permitted. The method includes receiving the data and determining the boundaries, for example, each time an ascertaining vehicle drives through the street.

A parking assistance device includes: an obstacle detection unit that detects an obstacle; a separated distance determination unit that determines a separated distance between the obstacles when a plurality of the obstacles are detected; a target position determination unit that determines a target position in a guidance route; a route calculation unit that calculates the guidance route; and a control unit that guides a vehicle in accordance with the guidance route, wherein, when a second obstacle is detected in a second direction orthogonal to a first direction in which one or plurality of first obstacles extends or are lined up while being separated from each other and at a position separated from the first direction, the separated distance determination unit determines the separated distance between the first and second obstacles.

Objects are sensed by a distance sensor of a vehicle. Reflected signals are received as echo signals by the driving-environment sensor. Object distance is calculable, for example, from the propagation time of the signals. Of the sensed objects, those objects are identified which, e.g., based on their spatial disposition, are parking-space-delimiting objects. It is possible to differentiate between objects delimiting a parking space to the side (e.g., parked vehicles) and lateral parking-space delimitations (e.g., a curbstone) by evaluating the echo signals. The parking-space-delimiting objects are classified through characteristic structures of the echo signals assigned to the parking-space-delimiting objects, and an object class is assigned to each parking-space-delimiting object. A parking-space quality is determined as a function of the classification, and a parking space defined by the parking-space-delimiting objects is recognized as a possible parking space if the quality of the parking space meets a threshold.

A method, a device and a computer-readable storage medium with instructions for processing data in a motor vehicle for forwarding to a back end. In a first step, sensor data are detected along a route of the motor vehicle. On the basis of the sensor data, features and context information on the features are then identified within segments of the route. Finally, the features and the context information on the features are combined into a message for the route.

A parking space detection apparatus detects a parking space of an own vehicle and includes: a vehicle determination section that determines whether an other vehicle is present on at least one of two sides of a parking space, based on search information acquired from an in-vehicle search section that searches for the parking space; a width calculation section that, it is determined that the other vehicle is present on at least one of the two sides of the parking space, calculate a width of the parking space on an entrance side and a width of the parking space on an inner side based on the search information; and a parking determination section that determines whether the own vehicle is able to park in the parking space based on the widths of the parking space on the entrance side and on the inner side and size of the own vehicle.

A method for detecting a parking area on at least one road section includes providing a usable width of the road section. The usable width represents a passable width of the road section between parking vehicles. The method further includes travelling on the road section using a detector vehicle and detecting lateral distances from objects with a detector device arranged in the detector vehicle. The method also includes comparing the detected lateral distances with the usable width, and detecting the parking area based on the comparison.

Objects are sensed by a distance sensor of a vehicle. Reflected signals are received as echo signals by the driving-environment sensor. Object distance is calculable, for example, from the propagation time of the signals. Of the sensed objects, those objects are identified which, e.g., based on their spatial disposition, are parking-space-delimiting objects. It is possible to differentiate between objects delimiting a parking space to the side (e.g., parked vehicles) and lateral parking-space delimitations (e.g., a curbstone) by evaluating the echo signals. The parking-space-delimiting objects are classified through characteristic structures of the echo signals assigned to the parking-space-delimiting objects, and an object class is assigned to each parking-space-delimiting object. A parking-space quality is determined as a function of the classification, and a parking space defined by the parking-space-delimiting objects is recognized as a possible parking space if the quality of the parking space meets a threshold.

A method for aiding finding of available parking areas of a street section includes receiving data corresponding to parking areas situated in a street section, the data including information ascertained by an ascertaining vehicle driving through the street section and information received from a server, determining an instantaneous occupancy estimate of the street section based on the received data, calculating a forecasted occupancy estimate based on the instantaneous occupancy estimate using a timer series forecasting model, and generating a display representation of the calculated forecasted occupancy estimate. The method includes receiving the data and determining the occupancy estimate, for example, each time an ascertaining vehicle drives through the street.

An object detection device equipped at a predetermined height includes a waveform obtaining portion obtaining a wave height value of a reflected wave, a reference value calculation portion calculating a wave height value of a wave reflected from a reference obstacle present at the predetermined height as reference value, a detection value calculation portion calculating a wave height value of a wave reflected from a detection object as detection value, a reference distance calculation portion calculating a reference distance between the reference obstacle and the distance measuring sensor, a detection distance calculation portion calculating a detection distance between the detection object and the distance measuring sensor, a correction portion correcting the reference value and the detection value, and a height calculation portion calculating a height of the detection object relative to the predetermined height according to a relative comparison result of the corrected reference value and the corrected detection value.

A method includes receiving data corresponding to spaces situated in a street section, the data being ascertained by at least one ascertaining vehicle driving through the street section and including information corresponding to a beginning edge of at least one object and a ending edge of at least one second object, determining boundaries of at least one space in which parking is permitted based on the received data, and generating a display representation of the boundaries of the at least one space in which parking is permitted. The method includes receiving the data and determining the boundaries, for example, each time an ascertaining vehicle drives through the street.